Search Tag: diagnostic support
2025 16 Oct
Rapid identification of critical radiology findings is essential as reporting volumes rise and language grows more nuanced. Traditional natural language processing depends on rules or large annotated datasets, which can miss context. General-purpose large language models (LLMs) offer a prompt-driven alternative that may work without retraining....Read more
2025 16 Oct
Rapid identification of critical radiology findings is essential as reporting volumes rise and language grows more nuanced. Traditional natural language processing depends on rules or large annotated datasets, which can miss context. General-purpose large language models (LLMs) offer a prompt-driven alternative that may work without retraining....Read more
2025 16 Oct
Rapid identification of critical radiology findings is essential as reporting volumes rise and language grows more nuanced. Traditional natural language processing depends on rules or large annotated datasets, which can miss context. General-purpose large language models (LLMs) offer a prompt-driven alternative that may work without retraining....Read more
2025 16 Oct
Rapid identification of critical radiology findings is essential as reporting volumes rise and language grows more nuanced. Traditional natural language processing depends on rules or large annotated datasets, which can miss context. General-purpose large language models (LLMs) offer a prompt-driven alternative that may work without retraining....Read more
2025 16 Oct
Rapid identification of critical radiology findings is essential as reporting volumes rise and language grows more nuanced. Traditional natural language processing depends on rules or large annotated datasets, which can miss context. General-purpose large language models (LLMs) offer a prompt-driven alternative that may work without retraining....Read more
2025 24 Aug
Large language models are being integrated into radiology workflows with growing interest, thanks to their ability to perform advanced natural language tasks. These tools support report generation, summarisation, data labelling and clinical decision support. However, their tendency to generate inaccurate or misleading information, often referred...Read more
2025 31 Jul
Second opinions in radiology play a crucial role in clarifying diagnoses, guiding treatment and ensuring continuity of care—especially in complex cases or referrals to tertiary centres. However, these consultations are often managed through informal processes that hinder efficiency, accountability and reimbursement. Unstructured reporting, inconsistent...Read more
2025 31 Jul
Second opinions in radiology play a crucial role in clarifying diagnoses, guiding treatment and ensuring continuity of care—especially in complex cases or referrals to tertiary centres. However, these consultations are often managed through informal processes that hinder efficiency, accountability and reimbursement. Unstructured reporting, inconsistent...Read more